The position is focused on python development of components for a software application platform that will produce enterprise level reporting based on financial statements and models.
The candidate will develop and support the middle layer of the application to build, test, and deploy RESTful APIs based services, create shared services components, and collaborate with other IT groups, Dev Ops, and User Interface teams.
Responsibilities include:
- Engineer capable of designing solutions, writing code, testing code, automating test and deployment.
- Develop and maintain high-quality software code and automated tests (including Unit, Functional, Performance, Acceptance) for web interface application that integrates data, analytics, and reporting components.
- Predictable results: changes in code can be proven to be correct and bug-free.
- Production resilience: system must be highly available with minimal downtime.
- High performance: develop scalable calculations to maintain performance over large data sets.
- Ready, willing, and able to pick up new technologies and pitch in on story tasks (design, code, test, CI/CD, deploy, etc.)
Technical Skills:
- Experience writing Python code and RESTful web services using framework such as Flask, Fast API etc. in a professional environment.
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- Back End Skills: Python, Django/Flask/Fast API, NumPy, pandas and Relational Database
- Automation Testing: Pytest, Unitest, Monkey patch, pytest-mockito etc.
- Build CI/CD Tools: Gradle, Jenkins, git, Conda, pip, Jira, Gitlab, Confluence
- DevOps: Linux & Docker
- Python, Apps, REST API, Flask, pandas, and Relational Database. Able to test code automation.
Preferred Qualifications:
- Bachelor’s degree, ideally in Financial Engineering, Computer Science, or a related quantitative discipline
- Prior experience with financial services companies desired but not necessary.